File

Cohort 117 - (DA/DS/GenAI - DK)

Batch link, passcode and updates section

Cohort 117 - Link & passcode

1. Arithmetic_Operators 2. Daily_Data_Consumption 3. Data_Types 4. Introduction_to_DataScience 5. Print 6. Python_Overview 7. Roles 8. Salary_Packages 9. Sectors 10. Tools 11. Variable

25 January recording (125:32)
File

Revision, Variable, Revision & Task Discussion, Integers

1st February recording (160:04)

Float, Comments, if, elif, else, input, for loop

2nd February recording (163:45)
File

For Loop, Function

9th February Recording (151:37)
File

Function, List, Dictionary

15th February Recording (162:27)

Python - Tuple, Range, Lambda

16th February Recording (155:23)
16th February file

String Manipulation, Python Modules, File Handling

22nd February Recording (154:16)

Exception Handling, Introduction to Numpy

23rd February Recording (146:04)
22nd & 23rd February files

Python - Map, Reduce, Filter, Pandas

1st March Recording (146:49)

Doubt Session

2nd March Recording (149:27)
1st & 2nd March Files

Matplotlib, Colors, Markers, Resume, Pie chart

8th march Recording (136:48)
8th March file

Data Analysis with Pandas

9th March recording - part 1 (90:31)
9th March recording - part 2 (41:44)
9th March file

Pandas Functions, Forms_in_Pandas, Introduction_to_Github

15th March Recording (151:17)

Introduction_to_Github, EDA, info, int64, Object

16th March Recording Part-1 (65:14)
16th March Recording Part-2 (84:25)
15th & 16th March Files

Seaborn, Donut Charts, HeatMap, Apply, Map, Filtering

22nd March Recording (151:34)

Aggregate Function, Correlation, Filtering, Sorting

23rd March Recording (152:11)
22nd & 23rd March File

New section

29th March Recording (145:38)
File

Google Sheet Overview, Row & Columns, Dragging, Arthimetic Operators, Sorting & Filtering

30th March Recording (149:59)
Files

Freezing Rows and Columns, Sum & SumIF, Average & Count, Vlookup, Hlookup

5th April Recording (143:23)
Files

Pie Charts, Line Charts, Corelation, Exporting, Regression, Transformations

6th April Recording (150:10)
Files

XLOOKUP, Named Ranges, Find and Replace , Using Checkboxes for Task Lists, Protecting Cells or Sheets , Data Validation

12th April Recording (146:15)

Importing the data to collab, Formula, Google Sheet Shortcuts, Mini Project - 2

13th April recording - Part 1 (123:16)
13th April recording - Part 2 (3:28)
12th & 13th April Files

Introduction to Databases, SQL Overview, Installing XAMPP, Creating a Database, Creating Tables, Inserting Data into Tables, SELECT

19th April Recording (157:26)
File

Data Types, Updating & Deleting in SQL, MiniProject-1, Filtering Data, Comparison & Logical Operators,

20th April Recording (151:48)
File

Betweeen, Like, Sorting Data

26th April Recording (151:29)
File

LIMIT & DISTINCT, Alias, Aggregate Functions, Grouping Data, MiniProject-2

27th April Recording (145:33)
File

HAVING Clause, NULL Values, Primary Keys & FOREIGN KEY, Joins, Subqueries

3rd May Recording (144:22)

EXISTS & IN, Normalization, Indexing, SQL Best Practice, MiniProject-3, Blinkit App Dashboard

4th May recording (147:09)
3rd and 4th may files

11th May

11th May Recording (142:13)

Buttons, Colors, Read_CSV, Operations with CSV, FoodApp, ZomatoApp

17th May Recording (148:48)

Linear Regression, House Price Prediction using LR, Salary Prediction Using LR, Logistic Regression, Decision Tree, Variables

18th May Recording (149:48)
17th and 18th may Files

Random Forest Algorithm, SVM, KNN

24th May Recording (146:40)
File

Accuracy Score, Precision Score, Recall Score, Discuss about SDLC, Machine Learning Role Overview

25th May Recording (156:37)
File

Types of Machine learning, Algorithms, SDLC, Roles and Salary in SDLC, K-Mean, Train Test Split(TTS)

31st May Recording (156:53)

Hosting Revision, Using Train-Test Split, DBSCAN, NLP Overview, Stopwords, Steaming

1st June Recording (156:04)
31st may and 1st june files

Lemmatization - BOW - Jupyter Notebook - POS Tagging - POS Tags Meaning - NER - Sentiment Analysis

7th June Recording (153:47)

Polarity - Subjectivity - TextBlob - Introduction to Deep learning - Data Mining - Doubt Session

8th June Recording (148:07)
7th and 8th June File

14th June

Gen AI Recording (129:59)
File

15th June

15th June Recording (124:02)
File

16th June

Gen AI Recording (128:19)
File

17th June

Gen AI Recording (119:43)
File

18th June

Gen AI Recording (119:43)
File

Epoch, Epcoh Example, Activation Functions, Relu

21st June Recording (141:25)

Optimizer, Loss fuction, Sigmoid, adam, Tensoflow, Keras, Dense, Sequential, Layers

22nd June Recording Part-1 (122:07)
22nd June Recording Part-2 (20:50)

28th June

28th June Recording Part-1 (6:07)
28th June Recording Part-2 (4:26)
28th June Recording Part-3 (149:29)

29th June

29th June Recording (147:35)

Career Building Session

Career Building Session part-1 (97:04)
Career Building Session part-2 (101:16)
Career Buidling Sessions document

5th July

5th July Recording (147:54)

6th July

6th July Recording Part-1 (112:49)
6th July Recording Part-2 (5:11)
6th July Recording Part-3 (20:19)

12th July

12th July REcording (141:48)

13th July

13th July Recording (148:00)

Lesson content locked

If you're already enrolled, you'll need to login.

Enroll in Course to Unlock